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Selection enables enhancement: An integrated model of object tracking
Andrew Lovett1, Will Bridewell1, Paul Bello1
1U.S. Naval Research Laboratory, Washington, DC, USA.
Journal of Vision
|December 24, 2019
Summary
This study introduces a computational model of visual attention, using serial selection and parallel enhancement to explain multiple-object tracking. The model clarifies attentional limitations and competition during tracking tasks.
Area of Science:
- Cognitive Psychology
- Computational Neuroscience
- Visual Perception
Background:
- Visual attention research faces challenges in unifying accounts of multiple-object tracking.
- Identifying attentional limitations causing target competition during tracking is a key difficulty.
Purpose of the Study:
- To present a computational model of object tracking that integrates serial selection and parallel enhancement.
- To explain attentional limitations and competition in multiple-object tracking.
Main Methods:
- Developed a computational model incorporating serial selection and parallel enhancement mechanisms.
- Simulated two psychological experiments to test the model's explanatory power.
Main Results:
- The model successfully explains spatial competition during enhancement and temporal competition for selection.
- Demonstrated that the interaction between selection and enhancement accounts for various multiple-object tracking findings.
Conclusions:
- The proposed model provides a unified account for attentional limitations in multiple-object tracking.
- The interaction between selection and enhancement is crucial for a broader understanding of visual attention.
